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DBMS > Hawkular Metrics vs. Solr vs. Splunk vs. Sqrrl

System Properties Comparison Hawkular Metrics vs. Solr vs. Splunk vs. Sqrrl

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big DataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSSearch engineSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score88.71
Rank#14  Overall
#2  Search engines
Websitewww.hawkular.orgsolr.apache.orgwww.splunk.comsqrrl.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidesolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperCommunity supported by Red HatApache Software FoundationSplunk Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2014200620032012
Current release9.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyes
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsHTTP RESTJava API
RESTful HTTP/JSON API
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoJava pluginsyesno
Triggersyes infovia Hawkular Alertingyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoyesAccess rights for users and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Hawkular MetricsSolrSplunkSqrrl
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